Human Assistance and Augmentation with Wearable Soft Robotics: a Literature Review and Perspectives

Human Assistance and Augmentation with Wearable Soft Robotics: a Literature Review and Perspectives
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DOI:
10.1007/s43154-021-00067-0
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发表时间:
2021-12
期刊:
Current Robotics Reports
影响因子:
--
通讯作者:
Emiliano Quiñones Yumbla;Zhi Qiao;Weijia Tao;Wenlong Zhang
Emiliano Quiñones Yumbla;Zhi Qiao;Weijia Tao;Wenlong Zhang
中科院分区:
其他
文献类型:
--
作者:
Emiliano Quiñones Yumbla;Zhi Qiao;Weijia Tao;Wenlong Zhang

文献摘要

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Purpose of ReviewWearable soft robotics has demonstrated many unique capabilities in human assistance and augmentation. This paper discusses the recent trends and remaining challenges in designing soft actuators, soft sensors, and controllers for wearable soft robots.Recent FindingsDifferent actuation mechanisms for wearable systems were investigated in this review. We include a synopsis on the design of soft sensors and algorithms for sensor fusion and discuss the recent trends for sensing simultaneous deformations and implementing machine learning techniques for soft sensor fusion. We also present a discussion on layered controller design and the evaluation metrics for experiments with healthy and impaired subjects.SummaryWe review three commonly used soft actuation mechanisms and provide their characteristics, in which the balance between material stiffness and functionality is still a challenge. We present the advances in soft sensor design and discuss the challenges in fusion algorithms for wearable soft sensors, such as inter-subject adaptability and sensor location movement. We also discuss the model-based and model-free controller design together with the evaluation criteria for healthy and impaired users, in which autonomous operation for personalized assistance is still an open challenge for controller design.